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Big Data Cloud Support Engineer

Big Data Cloud Support Engineer

Job ID 
540892
Location 
US-TX-Dallas
Posted Date 
6/1/2017
Company 
Amazon Web Services, Inc.
Position Category 
Operations, IT, & Support Engineering
Recruiting Team 
..

Job Description

Amazon has built a reputation for excellence with recent examples of being named #1 in customer service, #1 most trusted, and #2 most innovative. Amazon Web Services (AWS) is carrying on that tradition while leading the world in Cloud technologies. As a member of the AWS Support team you will be at the forefront of this transformational technology assisting a global list of companies that are taking advantage of a growing set of services and features to run their mission-critical applications. You will work with leading companies in this space and directly with the engineering teams within Amazon developing these new capabilities. AWS Support provides global technical support to a wide range of external customers as they build mission-critical applications on top of AWS services such as Amazon S3 and Amazon EC2. We have a team of talented Support Engineers located in 8 countries around the world, and are growing rapidly. We are seeking data analysts with an affinity for big-data tools and linux administration.

Every day will bring new and exciting challenges on the job while you:
§ Learn and use groundbreaking technologies
§ Apply advanced troubleshooting techniques to provide unique solutions to our customers' individual needs
§ Interact with leading technologists around the world
§ Work directly with Amazon Web Service architects to help reproduce and resolve customer issues
§ Leverage your extensive customer support experience to provide feedback to internal AWS teams on how to improve our services
§ Drive customer communication during critical events
§ Drive projects that improve support-related processes and our customers’ technical support experience
§ Write tutorials, how-to videos, and other technical articles for the customer community
§ Work on critical, highly complex customer problems that may span multiple AWS services


Basic Qualifications

· Bachelor’s degree in Information Science / Information Technology, Data Science, Computer Science, Engineering, Mathematics, Physics, or a related field
· 3+ years of experience in a technical position
· 2+ years of experience in programming/scripting in one or more of these languages:
· 1+ years of experience in data processing frameworks such as Hadoop and Apache Spark



Preferred Qualifications

· Experience in Linux system monitoring, analysis, and system administrator skills
· Experience with data plane and control plane
· Proficient in Map-Reduce, Zookeeper, HBASE, HDFS, Pig, Hive, Oozie, Spark, Presto, Hue, Yarn, HTFS, Sqoop, Python, and shell scripting
· Experience in Networking (DNS, TCP/IP)
· Experience managing full application stacks from the OS up through custom applications
· Excellent knowledge of Hadoop architecture and administration and support
· Expert understanding of ETL principles and how to apply them within Hadoop
· Be able to read java code, and basic coding/scripting ability in Java, Perl, Ruby, C#, PHP, or JavaScript
· Good understanding of distributed computing environments
· Excellent oral and written communication skills
· Customer service experience / strong customer focus
· Strong multi-tasking skills
· Strong analysis and troubleshooting skills and experience
· Self-starter who is excited about learning new technology
· Prior working experience with AWS - any or all of EC2, S3, EBS, ELB, RDS, Dynamo DB, EMR

What if I’m not an expert in all the preferred qualifications listed on the job description?
That’s okay. That’s our preferred list, not a required listed. We hire smart people who can dive deep so we’re more interested in the areas that you do know instead of those you haven’t been exposed to yet.

Amazon is an Equal Opportunity-Affirmative Action Employer - Female/Minority/Disability/Veteran/Gender Identity/Sexual Orientation.